Explore the intersection of accessibility and artificial intelligence in this Stanford seminar featuring Jeff Bigham. Delve into the challenges and opportunities presented by the "AI Autumn" in relation to human-computer interaction and accessibility. Examine the evolution of screen readers, alt text, and the concept of hidden accessibility. Investigate the distinction between first and second-class abilities in design, and the importance of discoverability. Learn about the complexities of semantic information becoming pixelated, and the challenges posed by audio CAPTCHAs for screen reader users. Discover how people with disabilities often become early adopters of new technologies. Analyze the cycles and arcs of machine learning in accessibility contexts. Explore innovative approaches to designing for ability outliers, including dyslexia detection and making memes accessible. Examine real-world applications of accessibility technologies in devices and touchscreens, including risk-free exploration methods for legacy systems. Witness a practical demonstration of a blind participant completing a task with app guidance.
Overview
Syllabus
Introduction.
Human-Computer Interaction.
The Long Slog Against Ability Assumptions.
What does a screen reader do?.
Alt Text Today.
Hiding Accessibility.
First and Second Class Abilities.
Designing What Users Don't Want.
Discoverability.
Help, my semantics became pixels.
Audio CAPTCHAs and Screen Readers.
People with Disabilities as Early Adopters.
Machine Learning Arcs and Cycles.
Designing for Ability Outliers.
Dyslexia Detection.
Making Memes Accessible.
Real-World Devices.
Real-World Touchscreens.
Adding Risk-Free Exploration to Legacy Touchscreens.
Blind Participant #5 Completing task with app guidance.
Taught by
Stanford Online
